iPad16,6
Geekbench ML Score
6475
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 18 2024 09:07 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPad16,6 |
| Model ID | iPad16,6 |
| Motherboard | J721AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 15.07 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3957
740.5 IPS |
|
|
Image Classification (F16)
|
100% |
4280
800.9 IPS |
|
|
Image Classification (I8)
|
99% |
3900
729.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1986
33.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
2272
38.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
2251
37.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
26844
32.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
28546
34.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
27599
33.4 IPS |
|
|
Object Detection (F32)
|
100% |
3637
271.5 IPS |
|
|
Object Detection (F16)
|
100% |
3870
288.9 IPS |
|
|
Object Detection (I8)
|
97% |
3332
248.7 IPS |
|
|
Face Detection (F32)
|
100% |
11088
131.8 IPS |
|
|
Face Detection (F16)
|
98% |
13815
164.3 IPS |
|
|
Face Detection (I8)
|
97% |
13400
159.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
19771
153.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
21604
167.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
19734
153.0 IPS |
|
|
Style Transfer (F32)
|
100% |
55827
73.4 IPS |
|
|
Style Transfer (F16)
|
100% |
64881
85.3 IPS |
|
|
Style Transfer (I8)
|
100% |
64553
84.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8782
313.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8398
299.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
8201
292.9 IPS |
|
|
Text Classification (F32)
|
100% |
1509
2.17 KIPS |
|
|
Text Classification (F16)
|
100% |
1585
2.28 KIPS |
|
|
Text Classification (I8)
|
96% |
513
737.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1053
19.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1099
20.2 IPS |
|
|
Machine Translation (I8)
|
99% |
943
17.3 IPS |
